Unit 1 UNIT – I

7 lecture hours

• IoT and Edge Computing Definition and Use Cases: Introduction to Edge Computing Scenario's and Use cases - Edge computing purpose and definition
• Edge computing use cases
• Edge computing hardware architectures
• Edge platforms
• Edge vs Fog Computing
• Communication Models - Edge
• Fog and M2M

Unit 2 UNIT – II IoT Architecture and Core IoT Modules-A connected

10 lecture hours

• IoT versus machine-to-machine versus
• The value of a network and Metcalfe's and Beckstrom's laws
• IoT and edge architecture
• Role of an architect
• Understanding Implementations with examples-Example use case and deployment
• Case study – Telemedicine palliative care
• Use case retrospective

Unit 3 UNIT – III RaspberryPi

8 lecture hours

• Introduction to RaspberryPi
• About the RaspberryPi Board: Hardware Layout and Pinouts
• Operating Systems on RaspberryPi
• Configuring RaspberryPi
• Programming RaspberryPi
• Connecting Raspberry Pi via SSH, Remote access tools
• Interfacing DHT Sensor with Pi, Pi as Webserver
• Pi Camera
• Image & Video Processing using Pi

Unit 4 UNIT – IV Implementation of Microcomputer RaspberryPi and

10 lecture hours

• device Interfacing
• Edge to Cloud Protocols- Protocols
• MQTT, and MQTT publish-subscribe
• MQTT architecture details
• MQTT state transitions
• MQTT packet structure
• MQTT data types
• MQTT communication formats
• MQTT 3.1.1 working example

Unit 5 UNIT – V Edge computing with RaspberryPi, Industrial and

• Commercial IoT and Edge
• Edge computing and solutions. 7 18